Enhanced 3D face processing using an active vision system

Morten Lidegaard, Rasmus Larsen, Dirk Kraft, Jeppe Barsøe Jessen, Richard Beck, Thiusius Rajeeth Savarimuthu, Claus Gramkow, Ole Neckelmann, Jonas Haustad, Norbert Krüger

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

We present an active face processing system based on 3D shape information extracted by means of stereo information. We use two sets of stereo cameras with different field of views (FOV): One with a wide FOV is used for face tracking, while the other with a narrow FOV is used for face identification. We argue for two advantages of such a system: First, an extended work range, and second, the possibility to place the narrow FOV camera in a way such that a much better reconstruction quality can be achieved compared to a static camera even if the face had been fully visible in the periphery of the narrow FOV camera. We substantiate these two observations by qualitative results on face reconstruction and quantitative results on face recognition. As a consequence, such a set-up allows to achieve better and much more flexible system for 3D face reconstruction e.g. for recognition or emotion estimation based on the characteristics of a given face.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Computer Vision Theory and Applications
EditorsSebastiano Battiato
Volume3
PublisherSCITEPRESS Digital Library
Publication date2014
Pages466-473
ISBN (Print)9789897580093
ISBN (Electronic)978-989-758-009-3
DOIs
Publication statusPublished - 2014
Event9th International Conference on Computer Vision Theory and Applications - Lisbon, Portugal
Duration: 5. Jan 20148. Jan 2014
Conference number: 9

Conference

Conference9th International Conference on Computer Vision Theory and Applications
Number9
Country/TerritoryPortugal
CityLisbon
Period05/01/201408/01/2014

Keywords

  • Active vision

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